Volkswagen Ag

Jan Kempa

Tatjana Kruscha

Christian Bruns

Bernd Lehmann

Marius Spika

Jan Sonnenberg

Christoph König

Fabian Galetzka

Jakob Spiegelberg

Marvin Schröder

André Oberschachtsiek

Julia Kwasny

Frank Schulze

Benjamin Groß

Enes Esatbeyoglu

Oliver Cassebaum

Bernd Rössler

Laura Fieback

The present disclosure relates to a method, to a computer program comprising instructions, and to a device for environment sensing in a vehicle. For the environment sensing, environment data are recorded by means of at least one vehicle sensor. A prediction is calculated by means of a trained machine learning model based on the recorded environment data, wherein the prediction includes a measure of uncertainty for the prediction. Equally, a deviation value is determined for the recorded environment data that provides a measure of how significantly the recorded environment data deviate from training data for the machine learning model. At least one conformity score is determined based on the measure of uncertainty and the deviation value and then a prediction set is determined based on the at least one determined conformity score. Then, a control signal is generated depending on the determined prediction set.

Detecting and determining relevant variables of an object by means of ultrasonic sensors

A method for setting up a virtual ad hoc network for transmitting at least one piece of information to a first transportation vehicle as a first network subscriber. The method includes the information being provided based on first data from at least one second network subscriber; and at least one second network subscriber being a second transportation vehicle or an infrastructure component; wherein a motor-vehicle-external, central data processing device receives second data from multiple potential second network subscribers and takes the second data and at least one space-time parameter as a basis for determining the second network subscribers and setting up the virtual ad hoc network with the first transportation vehicle, as the first network subscriber, and the determined second network subscribers, the space-time parameter defining a specific area of relevance that has a predetermined physical and temporal correlation with the current position of the first transportation vehicle.

Method for building an ad hoc virtual network and system

A transportation vehicle navigation method with a navigation system of a transportation vehicle for determining at least one route and navigation based on the determined route according to a position of the transportation vehicle. The method includes detecting at least one environmental characteristic of the transportation vehicle, specific for at least one emission of the transportation vehicle, by at least one sensor of the transportation vehicle to determine a detection result; performing an evaluation of the detection result to determine an evaluation result; and adapting the determined route during the navigation based on the evaluation result.

Transportation vehicle navigation method

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Wolfsburg, Germany

Jan Kempa